samsung SM-S938U1
Geekbench AI Score
744
Single Precision Score
27767
Half Precision Score
62613
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Maximum_Game |
| Upload Date | February 20 2025 08:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938U1 |
| Model ID | samsung SM-S938U1 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
475
88.3 IPS |
|
|
Image Classification (HP)
|
100% |
21784
4.05 KIPS |
|
|
Image Classification (Q)
|
97% |
49578
9.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
606
9.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
13298
215.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
42405
689.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
776
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
123514
144.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
478393
559.9 IPS |
|
|
Object Detection (SP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (HP)
|
100% |
19838
1.57 KIPS |
|
|
Object Detection (Q)
|
85% |
22731
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
1078
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
43813
520.6 IPS |
|
|
Face Detection (Q)
|
97% |
158053
1.88 KIPS |
|
|
Depth Estimation (SP)
|
100% |
969
7.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
84758
653.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
146524
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
1504
1.93 IPS |
|
|
Style Transfer (HP)
|
98% |
98876
127.5 IPS |
|
|
Style Transfer (Q)
|
98% |
492725
635.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
489
18.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54953
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
135018
5.00 KIPS |
|
|
Text Classification (SP)
|
100% |
660
881.3 IPS |
|
|
Text Classification (HP)
|
100% |
3925
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
8078
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
1080
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4848
83.5 IPS |
|
|
Machine Translation (Q)
|
56% |
3255
83.9 IPS |
